README.md

metadata

annotations_creators:
  - machine-generated
language_creators:
  - machine-generated
language:
  - pt
license:
  - cc-by-nc-sa-4.0
multilinguality:
  - monolingual
size_categories:
  - unknown
source_datasets:
  - extended|rebel-dataset
task_categories:
  - text-retrieval
  - text2text-generation
task_ids: []
pretty_name: rebel-portuguese
tags:
  - relation-extraction
  - conditional-text-generation

Dataset Card for REBEL-Portuguese

Table of Contents

• Dataset Card for REBEL-Portuguese
  • Table of Contents
  • Dataset Description
    • Dataset Summary
    • Supported Tasks and Leaderboards
    • Languages
  • Dataset Structure
    • Data Instances
    • Data Fields
    • Data Splits
  • Dataset Creation
    • Curation Rationale
    • Source Data
      • Initial Data Collection and Normalization
      • Who are the source language producers?
    • Annotations
      • Annotation process
      • Who are the annotators?
    • Personal and Sensitive Information
  • Considerations for Using the Data
    • Social Impact of Dataset
    • Discussion of Biases
    • Other Known Limitations
  • Additional Information
    • Dataset Curators
    • Licensing Information
    • Citation Information
    • Contributions

Dataset Description

• Repository: https://github.com/Babelscape/rebel
• Paper: https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf
• Point of Contact: julianarsg13@gmail.com

Dataset Summary

Dataset adapted to Portuguese from REBEL-dataset .

Supported Tasks and Leaderboards

• text-retrieval-other-relation-extraction: The dataset can be used to train a model for Relation Extraction, which consists in extracting triplets from raw text, made of subject, object and relation type.

Languages

The dataset is in Portuguese, from the Portuguese Wikipedia.

Dataset Structure

Data Instances

Data Fields

Data Splits

Dataset Creation

Curation Rationale

Source Data

Data comes from Wikipedia text before the table of contents, as well as Wikidata for the triplets annotation.

Initial Data Collection and Normalization

For the data collection, the dataset extraction pipeline cRocoDiLe: Automatic Relation Extraction Dataset with NLI filtering insipired by T-REx Pipeline more details found at: T-REx Website. The starting point is a Wikipedia dump as well as a Wikidata one. After the triplets are extracted, an NLI system was used to filter out those not entailed by the text.

Who are the source language producers?

Any Wikipedia and Wikidata contributor.

Annotations

Annotation process

The dataset extraction pipeline cRocoDiLe: Automatic Relation Extraction Dataset with NLI filtering.

Who are the annotators?

Automatic annottations

Personal and Sensitive Information

All text is from Wikipedia, any Personal or Sensitive Information there may be present in this dataset.

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Not for now

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions

Thanks to @ju-resplande for adding this dataset.